MAR-model-based Adaptive Detection in Space-Time Colored Compound Gaussian Clutter
The problem of adaptive detection for a multichannel signal in space-time colored compound Gaussian clutter is studied. The speckle component of the clutter is modeled as a multichannel autoregressive (MAR) process. Firstly, assum-ing that the MAR parameters are known, we derive a para-metric generalized likelihood ratio test (PGLRT) against compound Gaussian clutter. By replacing the ideal MAR parameters with their estimates based on training signals only, the adaptive PGLRT detectors are obtained. The simulation results confirm the effectiveness of the proposed adaptive detectors in training-limited situations.
Compound Gaussian clutter Multichannel AR process Generalized likelihood ratio test (GLRT) Multichannel signal detection.
Qi Xu Xiaochuan Ma Shefeng Yan Chengpeng Hao
Institute of Acoustics, Chinese Academy of Sciences,Beijing 100190, China
国际会议
2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)
成都
英文
462-466
2011-10-24（万方平台首次上网日期，不代表论文的发表时间）